Fault Diagnosis Based on a Predicate Logic Description of Dynamical Systems

2000 ◽  
pp. 485-515
Author(s):  
Jan Lunze ◽  
Frank Schiller
Keyword(s):  
Fault Diagnosis ◽  
Dynamical Systems ◽  
Predicate Logic ◽  
Logic Description

Distributed fault diagnosis of networked dynamical systems with time-varying topology

2019 ◽  
Vol 356 (11) ◽  
pp. 5754-5780
Author(s):  
Chen Peng ◽  
Yanlin Zhou ◽  
Qing Hui
Keyword(s):  
Fault Diagnosis ◽  
Dynamical Systems ◽  
Time Varying

A Fault Diagnosis Method Based on Constrained Frequent Pattern Trees

2010 ◽  
Vol 39 ◽  
pp. 449-454
Author(s):  
Jiang Hui Cai ◽  
Wen Jun Meng ◽  
Zhi Mei Chen
Keyword(s):  
Fault Diagnosis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Large Scale ◽  
Predicate Logic ◽  
Frequent Pattern ◽  
Rule Mining ◽  
First Order ◽  
Broad Term ◽  
Diagnosis Method

Data mining is a broad term used to describe various methods for discovering patterns in data. A kind of pattern often considered is association rules, probabilistic rules stating that objects satisfying description A also satisfy description B with certain support and confidence. In this study, we first make use of the first-order predicate logic to represent knowledge derived from celestial spectra data. Next, we propose a concept of constrained frequent pattern trees (CFP) along with an algorithm used to construct CFPs, aiming to improve the efficiency and pertinence of association rule mining. The running results show that it is feasible and valuable to apply this method to mining the association rule and the improved algorithm can decrease related computation quantity in large scale and improve the efficiency of the algorithm. Finally, the simulation results of knowledge acquisition for fault diagnosis also show the validity of CFP algorithm.

Observer design and fault diagnosis for state-retarded dynamical systems

Automatica ◽  
1998 ◽  
Vol 34 (2) ◽  
pp. 217-227 ◽  
Author(s):  
Hanlong Yang ◽  
Mehrdad Saif
Keyword(s):  
Fault Diagnosis ◽  
Dynamical Systems ◽  
Observer Design
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